Zhiyuan Fan

Orcid: 0009-0008-4092-0633

According to our database1, Zhiyuan Fan authored at least 54 papers between 2017 and 2026.

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Timeline

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Bibliography

2026
Toward Scalable Terminal Task Synthesis via Skill Graphs.
CoRR, April, 2026

Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy.
CoRR, April, 2026

Online Learning and Equilibrium Computation with Ranking Feedback.
CoRR, March, 2026

Voluntary Renewable Programs: Optimal Pricing and Revenue Allocation.
CoRR, March, 2026

Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning.
CoRR, March, 2026

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?
CoRR, March, 2026

Empowering Reliable Visual-Centric Instruction Following in MLLMs.
CoRR, January, 2026

LDSG-MLP: Research on a lightweight deep learning DDoS intrusion detection method for SDN.
Comput. Networks, 2026

2025
A Semantically Enhanced Generative Foundation Model Improves Pathological Image Synthesis.
CoRR, December, 2025

Electric Arc Furnaces Scheduling under Electricity Price Volatility with Reinforcement Learning.
CoRR, December, 2025

PretrainZero: Reinforcement Active Pretraining.
CoRR, December, 2025

Environment Scaling for Interactive Agentic Experience Collection: A Survey.
CoRR, November, 2025

Design Optimization and Global Impact Assessment of Solar-Thermal Direct Air Carbon Capture.
CoRR, October, 2025

Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model.
CoRR, October, 2025

On the Universal Near Optimality of Hedge in Combinatorial Settings.
CoRR, October, 2025

Robust Layerwise Scaling Rules by Proper Weight Decay Tuning.
CoRR, October, 2025

Enhancing Profit and CO2 Mitigation: Commercial Direct Air Capture Design and Operation with Power Market Volatility.
CoRR, October, 2025

Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm.
CoRR, October, 2025

Diversity-Enhanced Reasoning for Subjective Questions.
CoRR, July, 2025

CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions.
CoRR, July, 2025

Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models.
CoRR, June, 2025

MedEBench: Revisiting Text-instructed Image Editing on Medical Domain.
CoRR, June, 2025

V<sup>2</sup>R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations.
CoRR, April, 2025

CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering.
CoRR, January, 2025

CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Video-to-Image Affordance Grounding via Visual Conceptual Learning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

MedEBench: Diagnosing Reliability in Text-Guided Medical Image Editing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries.
Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

CA-GAN: Context-Aware Generative Adversarial Networks for Pathological Image Super-Resolution.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent.
CoRR, 2024

From General to Specific: Utilizing General Hallucination to Benchmark Specific Role-Playing Agents.
CoRR, 2024

Long-Term Energy Management for Microgrid with Hybrid Hydrogen-Battery Energy Storage: A Prediction-Free Coordinated Optimization Framework.
CoRR, 2024

Settling Constant Regrets in Linear Markov Decision Processes.
CoRR, 2024

Cross-Store Discount or Purchase Subsidy? Promotion Strategy of E-commerce Platforms Based on the Two-Sided Market Theory.
Proceedings of the E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future, 2024

Calibrated Self-Rewarding Vision Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Achieving Constant Regret in Linear Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SedarEval: Automated Evaluation using Self-Adaptive Rubrics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Exploring the Potential of Dense Information in Multimodal Alignment.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
OpenFE: Automated Feature Generation with Expert-level Performance.
Proceedings of the International Conference on Machine Learning, 2023

On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits.
Proceedings of the International Conference on Machine Learning, 2023

Efficient Data Learning for Open Information Extraction with Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Efficient Algorithms for Sparse Moment Problems without Separation.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
OpenFE: Automated Feature Generation beyond Expert-level Performance.
CoRR, 2022

The exact complexity of pseudorandom functions and the black-box natural proof barrier for bootstrapping results in computational complexity.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

2021
The Exact Complexity of Pseudorandom Functions and Tight Barriers to Lower Bound Proofs.
Electron. Colloquium Comput. Complex., 2021

2020
Smartphone Biosensor System with Multi-Testing Unit Based on Localized Surface Plasmon Resonance Integrated with Microfluidics Chip.
Sensors, 2020

2017
Recent Progress in Optical Biosensors Based on Smartphone Platforms.
Sensors, 2017


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